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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the Remez inequality, discovered by the Soviet mathematician Evgeny Yakovlevich Remez , gives a bound on the sup norms of certain polynomials, the bound being attained by the
Chebyshev polynomials The Chebyshev polynomials are two sequences of polynomials related to the cosine and sine functions, notated as T_n(x) and U_n(x). They can be defined in several equivalent ways, one of which starts with trigonometric functions: The Chebyshe ...
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The inequality

Let ''σ'' be an arbitrary fixed positive number. Define the class of polynomials π''n''(''σ'') to be those polynomials ''p'' of the ''n''th degree for which :, p(x), \le 1 on some set of measure ≥ 2 contained in the closed interval 1, 1+''σ'' Then the Remez inequality states that :\sup_ \left\, p\right\, _\infty = \left\, T_n\right\, _\infty where ''T''''n''(''x'') is the Chebyshev polynomial of degree ''n'', and the supremum norm is taken over the interval 1, 1+''σ'' Observe that ''T''''n'' is increasing on , +\infty/math>, hence : \, T_n\, _\infty = T_n(1+\sigma). The R.i., combined with an estimate on Chebyshev polynomials, implies the following corollary: If ''J'' ⊂ R is a finite interval, and ''E'' ⊂ ''J'' is an arbitrary measurable set, then for any polynomial ''p'' of degree ''n''.


Extensions: Nazarov–Turán lemma

Inequalities similar to () have been proved for different classes of functions, and are known as Remez-type inequalities. One important example is
Nazarov Nazarov (russian: Назаров), or Nazarova (feminine; Назарова) is a Russian family name of Rurik stock. The surname derives from the given name Nazar (for Slavic peoples) or Nazarbay (for Turkic peoples). The surname may refer t ...
's inequality for exponential sums : :Nazarov's inequality. Let :: p(x) = \sum_^n a_k e^ :be an exponential sum (with arbitrary ''λ''''k'' ∈C), and let ''J'' ⊂ R be a finite interval, ''E'' ⊂ ''J''—an arbitrary measurable set. Then :: \max_ , p(x), \leq e^ \left( \frac \right)^ \sup_ , p(x), ~, :where ''C'' > 0 is a numerical constant. In the special case when ''λk'' are pure imaginary and integer, and the subset ''E'' is itself an interval, the inequality was proved by Pál Turán and is known as Turán's lemma. This inequality also extends to L^p(\mathbb),\ 0\leq p\leq2 in the following way : \, p\, _ \leq e^\, p\, _ for some ''A''>0 independent of ''p'', ''E'', and ''n''. When :\mathrm E <1-\frac a similar inequality holds for ''p'' > 2. For ''p''=∞ there is an extension to multidimensional polynomials. Proof: Applying Nazarov's lemma to E=E_\lambda=\,\ \lambda>0 leads to :\max_ , p(x), \leq e^ \left( \frac \right)^ \sup_ , p(x), \leq e^ \left( \frac \right)^ \lambda thus :\textrm E_\lambda\leq C \,\, \textrm J\left(\frac \right )^ Now fix a set E and choose \lambda such that \textrm E_\lambda\leq\tfrac\textrm E, that is :\lambda =\left(\frac\right)^e^\max_ , p(x), Note that this implies: # \textrmE\setminus E_\ge \tfrac \textrmE . # \forall x \in E \setminus E_ : , p(x), > \lambda . Now :\begin \int_, p(x), ^p\,\mboxx &\geq \int_, p(x), ^p\,\mboxx \\ pt&\geq \lambda^p\frac\textrm E \\ pt&= \frac\textrm E \left(\frac\right)^e^\max_ , p(x), ^p \\ pt&\geq \frac \frac\left(\frac\right)^e^\int_ , p(x), ^p\,\mboxx, \end which completes the proof.


Pólya inequality

One of the corollaries of the R.i. is the Pólya inequality, which was proved by George Pólya , and states that the Lebesgue measure of a sub-level set of a polynomial ''p'' of degree ''n'' is bounded in terms of the leading coefficient LC(''p'') as follows: : \textrm \left\ \leq 4 \left(\frac\right)^ , \quad a > 0~.


References

* * * * * *{{cite journal, last = Pólya, first = G., author-link=George Pólya, title = Beitrag zur Verallgemeinerung des Verzerrungssatzes auf mehrfach zusammenhängende Gebiete, journal = Sitzungsberichte Akad. Berlin, year = 1928, pages = 280–282 Theorems in analysis Inequalities